Robotics AI Strategy & Program Lead

Descrição

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

We are seeking a Robotics AI Strategy & Program Lead to own end-to-end, cross-functional initiatives spanning AI research, robotics engineering, data infrastructure, and manufacturing operations. This role blends strategy, program management, analytics, and hands-on AI tooling: you will structure problems, drive roadmaps, build dashboards, dive into data, leverage and design AI agents, and lead large programs to completion.

You will work day-to-day with AI researchers, roboticists, AI engineers, data engineers, and AI product managers, translating between technical and non-technical stakeholders to ensure we build solutions that are strategic, measurable, and shippable.

Key Responsibilities

Program & project leadership

• Own end-to-end cross-functional projects from problem framing and strategy through execution, measurement, and iteration.
• Program manage large, multi-team initiatives (e.g., new robotics AI capabilities, data/telemetry programs, analytics or tooling rollouts) with clear milestones, owners, and success metrics.
• Build and maintain program roadmaps, dependency maps, and risk registers; proactively identify and resolve blockers.
• Drive operating rhythms (standups, reviews, steering forums) across AI Research, AI Engineering, Robotics Engineering, Manufacturing Engineering, and AI Product Management.

Strategy, storytelling & decision support

• Partner with leadership to define and refine Robotics AI strategy, including problem selection, sequencing of bets, and success metrics.
• Create clear narratives that connect technical work to GM-level business outcomes and manufacturing KPIs.
• Prepare executive-ready presentations and decision docs (SVP and above), highlighting changes, risks, and required decisions.
• Translate complex technical options into simple, structured trade-off frameworks for senior decision-makers.

Data, analytics & tooling

• Define questions, shape logging/telemetry requirements, pull and analyze data using SQL and Python or R, and turn findings into actionable insights.
• Build and maintain dashboards (e.g., Looker, Power BI) tracking program KPIs, model/system performance, deployment health, and operational metrics.
• Partner with Data Engineering and platform teams to leverage Databricks or similar platforms for analytics and reporting.
• Design and orchestrate GenAI-powered workflows and agents to automate repetitive analysis, reporting, and operations where appropriate.

AI, robotics & technical collaboration

• Act as a fluent technical partner to AI researchers, robotics engineers, and data engineers; you don’t need to ship production code, but you understand what makes these systems hard.
• Ensure data collection, labeling, evaluation, and deployment workstreams are aligned with program goals and success metrics.
• Collaborate with AI product managers to connect user needs, technical capabilities, and deployment constraints, especially in manufacturing environments.
• Engage external partners and vendors in AI, robotics, and data tooling where both technical depth and program context are required.

Ways of working & culture

• Champion a learning-oriented, experimentation-driven culture: rapidly explore new tools (GenAI, agents, analytics, low-code platforms) and help the team adopt what works.
• Model hands-on execution—pulling data, building quick dashboards, prototyping agents, and refining decks as needed.
• Continuously improve program management, measurement, and communication practices across the Robotics AI organization.

Qualifications

Required

• Bachelor’s or higher degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related technical field.
• 6+ years of experience in one or more of:
  • Management consulting or corporate strategy
  • Product management or technical program management
  • Data science or data analytics
• Meaningful experience in AI, ML, or robotics (e.g., robotics AI, applied ML, computer vision, intelligent automation).
• Proven ability to lead large, complex cross-functional programs with high ambiguity and multiple parallel workstreams.
• Strong strategic thinking and storytelling skills; able to frame problems, structure options, and communicate clearly to technical and non-technical audiences.
• Hands-on experience:
  • Writing SQL and using Python or R for analysis
  • Building dashboards in tools like Looker or Power BI
  • Working in Databricks or similar data platforms
• Demonstrated fluency with GenAI tools (e.g., prompt engineering, copilots/assistants) and a track record of designing or orchestrating AI-assisted workflows or agents.
• Experience with modern collaboration and delivery tooling such as Jira and low/no-code platforms (e.g., Power Apps, AppSheet).
• Ability to modulate communication style: comfortable in deep technical discussions with AI researchers and roboticists, and equally comfortable presenting synthesized insights to senior, non-technical executives.
• Strong cross-functional collaboration and influence skills; known as a team player who creates clarity and momentum, not just tracks tasks.

Strongly preferred

• Experience in robotics, robotics AI, or physical AI systems, especially in manufacturing, industrial, or logistics settings.
• Experience operating at the research–production intersection, helping teams balance exploration with delivery.
• Background in data-driven decision-making, experimentation, and KPI design in complex technical domains.
• Experience defining and instrumenting metrics for AI or robotics systems (e.g., reliability, coverage, cycle time, throughput, data quality).
• Comfort with storyboarding and narrative design; you naturally think in terms of “what’s the story?” and how to land it in a deck or memo.
• Track record of rapidly learning new technical domains and tools and helping teams adopt them effectively.

Esta função é classificada como híbrida. Isso significa que o candidato selecionado deverá trabalhar no escritório/fábrica da GM pelo menos 3 vezes por semana {ou outra frequência ditada por seu gerente}.

O candidato selecionado deverá viajar <25% para esta função.

Esta posição pode ser elegível para benefícios de relocação.

Informações sobre diversidade

A General Motors está comprometida em ser um local de trabalho que não só é livre de discriminação ilegal, como estimula verdadeiramente a inclusão e integração. Acreditamos enfaticamente que a diversidade na força de trabalho cria um ambiente no qual nossos colaboradores podem crescer e desenvolver melhores produtos para nossos clientes. Incentivamos os candidatos interessados a analisar as principais responsabilidades e qualificações de cada função e a se candidatar a qualquer cargo que corresponda a suas habilidades e capacidades. Os candidatos no processo de recrutamento podem, quando aplicável, ser solicitados a concluir com sucesso uma ou mais avaliações relacionadas à função e/ou uma seleção pré-emprego antes de iniciar o emprego.  Para saber mais, acesse Como contratamos.

Declaração de Igualdade de Oportunidades de Emprego (EUA)

A General Motors tem orgulho de ser um empregador que oferece oportunidades iguais.  Todos os candidatos qualificados serão considerados para o emprego, independentemente de raça, cor, religião, sexo, orientação sexual, identidade de gênero, origem nacional, deficiência ou status como veterano protegido. 

Adaptações (EUA e Canadá)

A General Motors oferece oportunidades a todos os candidatos a emprego, incluindo pessoas com deficiências. Se você precisa de uma adaptação razoável para ajudá-lo na sua pesquisa de cargos ou solicitação de emprego, fale conosco pelo e-mail [email protected] ou pelo telefone 800-865-7580. No seu e-mail, inclua uma descrição da adaptação específica que você está solicitando assim como o nome do cargo e o número de requisição do cargo ao qual está se candidatando.